{"id":717,"url":"https://alion.io/job/hark-platform-engineer","title":"Member of Technical Staff, Agent Infrastructure","company":{"id":764,"name":"Hark","domain":"hark.com","url":"https://alion.io/company/hark","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":45,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":113,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-03-18T00:51:31Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-16T13:01:09Z","board_verified":true,"closed_at":null,"days_open":212,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":212},"description":"About Hark\nHark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\nWe're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\nTo get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\nAbout the Role\nYou'll build the platform that powers Hark's AI agent - the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production.\nThat means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on.\nThis is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both.\nResponsibilities\nBuild the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together.\nOwn features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage.\nArchitect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines.\nInstrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop.\nWork across the stack when the problem requires it.\nRequirements\nStrong systems engineering fundamentals. You are comfortable designing APIs, building reliable infrastructure, and reasoning about performance, concurrency, and failure modes.\nExperience building production systems that real users depend on. You know the difference between something that works in a demo and something that works at scale.\nGenuine curiosity about AI and agents. You have built with LLMs, thought about how they fail, and have opinions about what makes agentic systems reliable.\nComfort with ambiguity and fast iteration. You can start with a rough problem, build something real, learn from it, and improve quickly.\nStrong communication. You can explain tradeoffs clearly, collaborate across teams, and make good decisions with incomplete information.\n5+ years of relevant software engineering experience. Experience at a fast-growing AI or infrastructure-focused company is a strong plus.\nBonus: hands-on experience with agent frameworks, streaming architectures, execution sandboxes, memory systems, or tool integration protocols.\nBonus Qualifications\nExperience at a fast-growing AI or infrastructure-focused company.\nHands-on experience with agent frameworks.\nExperience with streaming architectures.\nExperience with execution sandboxes.\nExperience with memory systems or tool integration protocols.\nCompensation\nThe US base salary range for this full-time position is between $170,000 - $400,000 annually.\nThe pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. 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